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Sharon L. Thompson-Schill

Researcher at University of Pennsylvania

Publications -  187
Citations -  14629

Sharon L. Thompson-Schill is an academic researcher from University of Pennsylvania. The author has contributed to research in topics: Cognition & Semantic memory. The author has an hindex of 57, co-authored 185 publications receiving 13334 citations. Previous affiliations of Sharon L. Thompson-Schill include Stanford University & Florida State University College of Arts and Sciences.

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Role of left inferior prefrontal cortex in retrieval of semantic knowledge: A reevaluation

TL;DR: The findings suggest that it is selection, not retrieval, of semantic knowledge that drives activity in the left IFG, and counters the argument that the effects of selection can be attributed solely to variations in degree of semantic retrieval.
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Cognitive control and parsing: reexamining the role of Broca's area in sentence comprehension

TL;DR: This work defends the following three hypotheses: that left inferior frontal gyrus is part of a network of frontal lobe subsystems that are generally responsible for the detection and resolution of incompatible stimulus representations; the role of LIFG in sentence comprehension is to implement reanalysis in the face of misinterpretation; and individual differences in cognitive control abilities in nonsyntactic tasks predict correlated variation in sentence-processing abilities pertaining to the recovery from misinterpretation.
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Effects of repetition and competition on activity in left prefrontal cortex during word generation

TL;DR: The experiment reported here examined the effects of repeated word generation, under conditions in which completion was either decreased or increased, on activity measured during whole-brain echoplanar functional magnetic resonance imaging.
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Neuroimaging studies of semantic memory: inferring "how" from "where".

TL;DR: These studies demonstrate that functional neuroimaging can offer more than neuroanatomical localization information; in addition, these studies offer new insights into longstanding questions about semantic memory.
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Reworking the language network

TL;DR: It is proposed that a language network plausibly includes a functionally specialized 'core' and a domain-general 'periphery' (a set of brain regions that may coactivate with the language core regions at some times but with other specialized systems at other times, depending on task demands).